Dr. Millstein’s research is focused on developing and applying statistical methods to address the many challenges of high dimensional data, particularly in multi-omic population-based studies of the genome, epigenome, transcriptome, microbiome, etc., in the context of pathogenesis of complex diseases such as cancer. With massive amounts of data collected in typical studies due to these advancing technologies, it has become increasingly important to have computational tools able to sift through all the information to separate the signal of interest from the noise. Specific areas of methods development include, causal mediation (CIT), dimensionality reduction, causal networks, false discovery rates (FDR), and epistasis/statistical interactions.

Effects of ambient air pollutants on asthma medication use and wheezing among fourth-grade school children from 12 Southern California communities enrolled in The Children's Health Study Arch Environ Health. 2004 Oct; 59(10):505-14. . View in PubMed